Haifeng Gong

Publications

Patents

  1. Haifeng Gong, Ruoting Wan, Dongdong Wang, Yicong Tian and Hang Qi, ‘Generative AI Visual Effect Generator’, US12541898B2 (granted), 2025
  2. Haifeng Gong, Xiaohang Li and Feng Yang, ‘Image Generation Using Enhanced Prompts’, WO2025264203A2, 2025
  3. Xiaohang Li, Sikun Lin and Haifeng Gong, ‘Automating Task Generation Using Autonomous Agents’, US20250286837A1, 2025
  4. Haifeng Gong, Yang Li, Gang Li, Yicong Tian, Feng Yang, Junjie Ke, Effrosyni Kokiopoulou, Dongdong Wang and Xiaohang Li, ‘Self-Criticizing AI System’, US20250322214A1, 2025
  5. Mikael Pierre Bonnevie, Haifeng Gong and Xiaohang Li, ‘Self-Improving AI System’, EP4662593A1, 2025
  6. Yinxiao Li, Feng Yang, Keyang Xu, Hongliang Fei, Yutian Wu, Xiaohang Li, Dongdong Wang, Yicong Tian and Haifeng Gong, ‘Super-Resolution Upscaling’, US20250336039A1, 2025
  7. Haifeng Gong, Dongdong Wang, Xiaohang Li and Feng Yang, ‘Semantic-Based Image Copying’, WO2025244625A1, 2025
  8. Haifeng Gong, Junjie Ke, Xiaohang Li, Feng Yang and Sikun Lin, ‘Prompt Modification for Higher Quality Images’, WO2025221265A1, 2025
  9. Haifeng Gong, Xiaohang Li and Samuel Forrest Terwilliger, ‘Generative AI’, US20250315986A1, 2025
  10. Haifeng Gong, Jiachen Wang and Xiaohang Li, ‘Customizing Digital Components Using AI’, US20250356553A1, 2025
  11. Mikael Pierre Bonnevie, Aaron Maschinot, Aaron Sarna, Shuchao Bi, Jingbin Wang, Michael Spencer Krainin, Wenchao Tong, Dilip Krishnan, Haifeng Gong, Ce Liu, Hossein Talebi, Raanan Sayag and Piotr Teterwak, ‘Image Extension Neural Networks’, US12236676B2 (granted), 2025
  12. Jianting Wen, Yan Li and Haifeng Gong, ‘Spatial information analysis method based on scalable vector graphics’, CN101320371A, 2008
  13. Jianting Wen, Yan Li and Haifeng Gong, ‘Optimized fusion remote sensing image processing method based on gradient field’, CN101246594A, 2008
  14. Jianting Wen, Yan Li and Haifeng Gong, ‘Poisson method for removing cloud from optical remote sensing images’, CN101246545A, 2008
  15. Song-Chun Zhu, Haifeng Gong and Wenze Hu, ‘A method for video moving object segmentation’, CN101216943A, 2008

Journal Articles

  1. Yang Cong, Haifeng Gong, Yandong Tang, Shuzhi Sam Ge and Jiebo Luo, ‘Real-time one-dimensional motion estimation and its application in computer vision’, Machine Vision and Applications, vol. 26, no. 5, 2015
  2. Youdong Zhao, Haifeng Gong, Yunde Jia and Song-Chun Zhu, ‘Background Modeling by Subspace Learning on Spatio-Temporal Patches’, Pattern Recognition Letters, vol. 33, no. 9, 2012
  3. Haifeng Gong and Song-Chun Zhu, ‘Intrackability: Characterizing Video Statistics and Pursuing Video Representations’, International Journal of Computer Vision, vol. 97, no. 3, 2012
  4. Zhangzhang Si, Haifeng Gong, Ying Nian Wu and Song-Chun Zhu, ‘Learning Active Basis Models by EM-Type Algorithms’, Statistical Science, vol. 25, no. 4, pp. 458–475, 2010
  5. Ying Nian Wu, Zhangzhang Si, Haifeng Gong and Song-Chun Zhu, ‘Learning Active Basis Model for Object Detection and Recognition’, International Journal of Computer Vision, vol. 90, no. 2, pp. 198–235, 2010
  6. Liang Lin, Haifeng Gong, Li Li and Liang Wang, ‘Semantic event representation and recognition using syntactic attribute graph grammar’, Pattern Recognition Letters, vol. 30, no. 2, pp. 180–186, 2009
  7. Haifeng Gong, Qing Yang, Chunhong Pan, Hanqing Lu and Songde Ma, ‘Generalized Optical Flow in the Scale Space’, Computer Vision and Image Understanding, vol. 105, no. 1, pp. 86–92, 2007

Conference Papers

  1. Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong and Irfan Essa, ‘BLT: Bi-directional Layout Transformer for Controllable Layout Generation’, ECCV, 2022
  2. Hsin-ying Lee, Lu Jiang, Irfan Essa, Madison Le, Haifeng Gong, Ming-Hsuan Yang and Weilong Yang, ‘Neural Design Network: Graphic Layout Generation with Constraints’, ECCV, 2020
  3. Haifeng Gong, Jiwoong Sim and Jianbo Shi, ‘Motion Planning for Visual Object Tracking’, ICCV, 2011
  4. Zhangzhang Si, Haifeng Gong, Ying Nian Wu and Song-Chun Zhu, ‘Learning Mixed Templates for Object Recognition’, CVPR, 2009
  5. Yang Cong, Haifeng Gong, Song-Chun Zhu and Yandong Tang, ‘Flow Mosaicking: Real-time Pedestrian Counting without Scene-specific Learning’, CVPR, 2009
  6. Jianting Wen, Haifeng Gong and Bing Zhang, ‘Generative Model for Abandoned Object Detection’, ICIP, 2009
  7. Wenze Hu, Haifeng Gong, Song-Chun Zhu and Yongtian Wang, ‘An Integrated Background Model for Video Surveillance Based on Primal Sketch and 3D Scene Geometry’, CVPR, 2008
  8. Wenze Hu, Jianting Wen, Haifeng Gong and Yongtian Wang, ‘An Interactive Video Annotation Tool for Video Surveillance’, ICPR, 2008
  9. Youdong Zhao, Haifeng Gong, Liang Lin and Yunde Jia, ‘Spatio-Temporal Patches for Night Background Modeling by Subspace Learning’, ICPR, 2008
  10. Jia Pan, Chunhong Pan, Haifeng Gong and Qing Yang, ‘Intrinsic Scale Space on Manifold’, Pacific Graphics, 2008
  11. Zheng Li, Haifeng Gong, Song-Chun Zhu and Nong Sang, ‘Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis’, EMMCVPR, 2007
  12. Haifeng Gong, Chunhong Pan, Qing Yang, Hanqing Lu and Songde Ma, ‘Neural Network Modeling of Spectral Embedding’, BMVC, 2006
  13. Haifeng Gong, Chunhong Pan, Qing Yang, Hanqing Lu and Songde Ma, ‘A Semi-supervised Framework for Mapping Data to the Intrinsic Manifold’, ICCV, 2005